[HTML][HTML] Reviewer assignment algorithms for peer review automation: A survey

X Zhao, Y Zhang - Information Processing & Management, 2022 - Elsevier
Assigning paper to suitable reviewers is of great significance to ensure the accuracy and
fairness of peer review results. In the past three decades, many researchers have made a …

Challenges, experiments, and computational solutions in peer review

NB Shah - Communications of the ACM, 2022 - dl.acm.org
Challenges, experiments, and computational solutions in peer review Page 1 76
COMMUNICATIONS OF THE ACM | JUNE 2022 | VOL. 65 | NO. 6 review articles IMA GER YB Y …

Can we automate scientific reviewing?

W Yuan, P Liu, G Neubig - Journal of Artificial Intelligence Research, 2022 - jair.org
The rapid development of science and technology has been accompanied by an
exponential growth in peer-reviewed scientific publications. At the same time, the review of …

Reviewergpt? an exploratory study on using large language models for paper reviewing

R Liu, NB Shah - arxiv preprint arxiv:2306.00622, 2023 - arxiv.org
Given the rapid ascent of large language models (LLMs), we study the question:(How) can
large language models help in reviewing of scientific papers or proposals? We first conduct …

Reviewer Assignment Problem: A Systematic Review of the Literature

M Aksoy, S Yanik, MF Amasyali - Journal of Artificial Intelligence Research, 2023 - jair.org
Appropriate reviewer assignment significantly impacts the quality of proposal evaluation, as
accurate and fair reviews are contingent on their assignment to relevant reviewers. The …

Counterfactual evaluation of peer-review assignment policies

M Saveski, S Jecmen, N Shah… - Advances in Neural …, 2024 - proceedings.neurips.cc
Peer review assignment algorithms aim to match research papers to suitable expert
reviewers, working to maximize the quality of the resulting reviews. A key challenge in …

A one-size-fits-all approach to improving randomness in paper assignment

Y Xu, S Jecmen, Z Song, F Fang - Advances in Neural …, 2023 - proceedings.neurips.cc
The assignment of papers to reviewers is a crucial part of the peer review processes of large
publication venues, where organizers (eg, conference program chairs) rely on algorithms to …

Uncovering latent biases in text: Method and application to peer review

E Manzoor, NB Shah - Proceedings of the AAAI Conference on Artificial …, 2021 - ojs.aaai.org
Quantifying systematic disparities in numerical quantities such as employment rates and
wages between population subgroups provides compelling evidence for the existence of …

Prior and prejudice: The novice reviewers' bias against resubmissions in conference peer review

I Stelmakh, NB Shah, A Singh, H Daumé III - Proceedings of the ACM on …, 2021 - dl.acm.org
Modern machine learning and computer science conferences are experiencing a surge in
the number of submissions that challenges the quality of peer review as the number of …

RevGNN: Negative Sampling Enhanced Contrastive Graph Learning for Academic Reviewer Recommendation

W Liao, Y Zhu, Y Li, Q Zhang, Z Ou, X Li - ACM Transactions on …, 2024 - dl.acm.org
Acquiring reviewers for academic submissions is a challenging recommendation scenario.
Recent graph learning-driven models have made remarkable progress in the field of …